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A decisional process is usually held by one or more expert users having different viewpoints. That is, they manipulate several knowledge and know-how with different objectives, preferences, competencies, and different visions on the data warehouse entities. In this paper, we propose to establish coordination and knowledge sharing between users of a decisional process based on the Common Warehouse...
Feature selection is not only a key to handle the high dimensionality phenomenon caused by the vector space model representation, but mainly an efficient technique to reduce the noise generated by the irrelevant and redundant terms. However, in order to effectively capture the most important features, both the semantic and the statistical information within the feature space should be taken into account...
The key to successful integration and interoperability between applications and software products depends on the intelligent use and management of metadata. This can be accomplished by the use of the CWM standard which provides a mechanism for exchanging metadata in the data warehousing and business intelligence domain. As for, it is known that the development and maintenance of information systems...
Knowing that not all the features in a dataset are important since some are redundant or irrelevant, the use of feature selection, an effective dimensionality reduction technique, is essential for web document clustering. For the clustering process, it represents the task of selecting important features for the underlying clusters. Therefore in order to pilot the web document clustering process, we...
This article discusses the problem of knowledge capitalization that require the operations of evaluation. There have been many approaches to develop specialized procedures and techniques, aimed at assuring the highest level of knowledge quality. The method proposed in this paper is based on a corporate memory building. This memory can capitalize just knowledge evaluated using a different criteria...
The key to successful integration and interoperability between applications and software products depends on the intelligent use and management of metadata. This can be accomplished by the use of the CWM standard which provides a mechanism for exchanging metadata in the data warehousing and business intelligence domain. As for, it is known that the development and maintenance of information systems...
The explosive growth of information stored in unstructured texts created a great demand for new and powerful tools to acquire useful information, such as text mining. Document clustering is one of its the powerful methods and by which document retrieval, organization and summarization can be achieved. However, it represents a challenge when dealing with a big number of data due to high dimensionality...
This research illustrates the potential of Web Usage Mining on e-Learning domain. We use educational data mining techniques to analyze learners' behavior, to help in learning evaluation and to enhance the structure of a given course. We focus on the preprocessing task, which is considered as the most crucial phase in the whole process. Our objective is to develop a data preprocessing method applied...
A data mining project is usually held by several actors (domain experts, data analysts, KDD experts …), each with a different viewpoint. In this paper we propose to enhance coordination and knowledge sharing between actors of a multi-view KDD analysis through a goal driven modeling of interactions between viewpoints. After a brief review of our approach of viewpoint in KDD, we will first develop a...
Knowledge is one of the organization's most important values that influencing its competitiveness. One way to capture organization's knowledge and make it available to all their members is through the use of knowledge management systems. A critical process in the whole knowledge management life cycle is validation. A Knowledge Base (KB) incorporated into such systems has to be verified or (more generally)...
Find relevant documents for a given query in search process information seems a challenge for all models and techniques embodied in an information retrieval system. We continue this challenge by proposing a new measure of similarity between two queries. This similarity measure is based on two aspects: the first is statistical based on the statistic X2 (method CHIR) and the second is semantic based...
The objective of this work is the conception and the realization of a recommendatory system, using concepts of the web usage mining and being inspired by approaches to information filtering. This system will propose to the Webmaster (or admin) from a platform for distance learning the best documents available on the web basis on the historical research done by learners. It is, actually a meta-search...
Knowledge Discovery in Databases (KDD) is a highly complex, iterative and interactive process involving several types of knowledge and expertise. In this paper we propose to support users of a multi-view analysis (a KDD process held by several experts with different viewpoints). Our objective is to enhance both reusability of the process and coordination between experts. To do so, we propose a formalization...
The task of Knowledge Management (KM) is to capture explicit and tacit knowledge of an organization in order to facilitate the access, sharing, and reuse of that information. Knowledge capital is a strategic asset in the achievement of the objectives, a major element for the survival of the organization. In this article, we present the importance of having a collaborative environment for managing...
In this paper, we propose a new approach that makes the viewpoint notion explicit in a multiview Knowledge Discovery in Databases (KDD) process. We define a viewpoint in KDD as an analyst's perception of a KDD process, which refers to his own knowledge. Our purpose is to facilitate both the reusability and adaptability of a KDD process, and to reduce its complexity whilst maintaining the trace of...
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